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Quality of patient‐reported outcomes in oncology clinical trials using immune checkpoint inhibitors: A systematic review

Authors :
Eoghan Malone
Reeta Barua
Nicholas Meti
Xuan Li
Rouhi Fazelzad
Aaron R. Hansen
Source :
Cancer Medicine, Vol 10, Iss 15, Pp 5031-5040 (2021)
Publication Year :
2021
Publisher :
Wiley, 2021.

Abstract

Abstract Background There are limited data regarding the quality of patient‐reported outcome (PRO) data in immune checkpoint inhibitor (ICI) clinical trial publications. Methods A systematic search of citations from various databases was conducted to identify prospective clinical trials involving ICI in advanced tumors from 2003 to 2020. A 30‐point score was adapted from the CONSORT PRO extension statement to assess adherence to CONSORT PRO reporting. Linear regression was used to identify factors associated with quality reporting. Results After the review of 8058 articles, 33 trials were included with ICIs as either monotherapy (91%) or part of a combination regimen (9%). The median score was 23.5 points (range 15–29). In the majority of cases (82%), PROs were reported in a separate publication from the original study. Most of the trials were conducted in the metastatic setting and predominantly in melanoma, lung, and renal cell carcinoma (RCC) (73%). Univariate analysis revealed that trials with greater than 250 patients were associated with a higher score. The score was more likely to be lower in disease sites other than melanoma, lung, and RCC and was higher in the KEYNOTE than in the CHECKMATE trial series. There was no significant correlation between the score and whether a trial met its primary end‐point or if the trial improved or worsened the quality of life. In the multivariate analysis, the number of patients enrolled to the trial, disease site, and trial series remained significant. Conclusions The quality of reporting of PROs in ICI phase II and III clinical trials is heterogeneous across various cancer sites. As PRO data are increasingly used to counsel patients and complement clinical decision making, innovative and collaborative efforts are required to improve the reporting of these essential data.

Details

Language :
English
ISSN :
20457634
Volume :
10
Issue :
15
Database :
Directory of Open Access Journals
Journal :
Cancer Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.5a7026e1e75b4f97aa5f86d1111cfe6e
Document Type :
article
Full Text :
https://doi.org/10.1002/cam4.4086